New TensorFlow benchmarks: faster training than Caffe2; near-linear speedup with # of GPUs https://www.tensorflow.org/performance/benchmarks … https://blogs.nvidia.com/blog/2017/04/18/caffe2/ …pic.twitter.com/1bG4uAHEuZ
Caffe2 is itself designed for performance, and is significantly faster than non-graph-based frameworks such as PyTorch, Chainer, DyNet...
-
-
Have you tried this on phi? If it scales linearly you could put 128 cores to work
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Nice! Just in time for GTC ;-)
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
AFAIK PyTorch, Chainer and DyNet all construct graphs for use as autodiff tape, only not do it ahead of time.
-
Also, in many cases they're not *significantly slower* than static graph frameworks (think only few %).
End of conversation
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.